搜索资源列表
Bayesian-classification
- matlab语言编写的实现iris数据的最小错误贝叶斯分类-Iris data to achieve the minimum error Bayesian classification
CODE
- 1.GeometricContext文件是完成图片中几何方向目标分类。 参考文献《Automatic Photo Pop-up》Hoiem 2005 2 GrabCut文件是完成图像中目标交互式分割 参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》 C. Rother 2004 3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码 4 虹膜识别程序
IrisBayes
- iris数据集的贝叶斯分类实验，外带实验报告一分-Bayesian classification of iris data set experiment, experimental report of a sub-outer
input
- iris.txt for matlab neural network
PCA
- 模式识别作业-完全自编仿真程序。先用PCA对IRIS数据集进行降维，然后用最小错误法对降维的数据进行分类。压缩包中既包括matlab源代码，又有自己写的报告，还有.MAT格式的IRIS数据集用作程序调用。程序有详细注释，很容易懂。最后结果输出到txt文件中。-Pattern recognition operations- completely self simulation program. First on the IRIS data set with PCA dimension reduct
SMOSVM
- 用于svc分类， 用SMO实现SVC，并在UCI数据集Iris上进行实验,2. 可借鉴现成SVM软件包，实现回归分析。 -For svc classification, using SMO to achieve SVC, and in the UCI Iris data set on the experiment, 2. SVM can learn ready-made packages, to achieve regression analysis.
TRACKEYE811
- 包括瞳孔和虹膜的半径找眼睛的瞳孔部位和眼睛虹膜的部分 同时会标基础眼睛中心的位置 -找眼睛的瞳孔部位和眼睛虹膜的部分 同时会标基础眼睛中心的位置 包括瞳孔和虹膜的半径-Find parts of the eye pupil and the iris of the eye at the same time part of the logo based on the location of the eye including the pupil center and iris radius
beyesi-iris
- 贝叶斯分类 iris数据集 matlab语言例子-贝叶斯 iris
iris
- matlab code iris data
ISODATA
- matlab编写的ISODATA算法，实验数据为Iris，代码注释详细，运行良好！-Matlab prepared by the ISODATA algorithm, the experimental data for the Iris code comment in detail, a good run!
KL
- matlab编写的K-L变换算法，实验数据为Iris，分类为BP算法，运行良好！-Matlab prepared by the KL transform algorithm, the experimental data for the Iris classified as BP algorithm, a good run!
SVM-iris
- 在matlab环境下，实现鸢尾花数据库的SVM分类，没有使用现成的工具包。-SVM classifier in Matlab environment, iris database, do not use off-the-shelf tool kit.
Bayes-iris
- 在matlab环境下，实现鸢尾花数据的贝叶斯分类，没有利用现成的数据命令。-Bayesian classifier in Matlab environment, iris data, there is no off-the-shelf data command.
ANN-iris
- 在matlab环境下，实现鸢尾花数据的人工神经网络分类，只是比较基本的实现BP网络，没有利用现成的命令。-In the Matlab environment, iris data artificial neural network classifier, but more basic BP network, there is no off-the-shelf command.
iris-encode-and-recognition
- encoding of iris and its recognition using matlab
iris-Segmentation-and-normalization
- Segmentation of iris and its normalization in matlab
k-means-for-iris
- 利用K均值聚类对鸢尾花样本进行聚类的matlab程序，包含源代码、样本数据、聚类结果-The use of K-means clustering method to classify iris sample matlab program, the program includes source code, sample data, the classification results
iris-classification-matlab-master
- In this report, we devise a methodology for identifying the species of an iris amongst 3 based on 4 distinctive features. We first cover the constitution of the data set and input patterns. We then determine the layout and structure of the neural net
Matlab
- 将Iris数据集分为2组，每组各75个样本，每组中每种花各有25个样本。其中一组作为以上程序的训练样本，另外一组作为检验样本。为了方便训练，将3类花分别编号为1，2，3 。 使用这些数据训练一个4输入（分别对应4个特征），3输出（分别对应该样本属于某一品种的可能性大小）的前向网络。-The Iris data set is divided into two groups each of 75 samples in each group have 25 samples in each fl
iris
- Iris Segmentation Code Matlab